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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Review of Deep Reinforcement Learning and Its Application in Modern Renewable Power System Control
Qingyan Li, Tao Lin, Qianyi Yu, et al.
Energies (2023) Vol. 16, Iss. 10, pp. 4143-4143
Open Access | Times Cited: 17

Showing 17 citing articles:

Advancements in data-driven voltage control in active distribution networks: A Comprehensive review
Sobhy M. Abdelkader, Sammy Kinga, Emmanuel Ebinyu, et al.
Results in Engineering (2024) Vol. 23, pp. 102741-102741
Open Access | Times Cited: 6
Transformative Impacts of AI and Wireless Communication in CSP Heliostat Control Systems
Q.Y. Liu, Zetao Dai, Wei Yuan, et al.
Energies (2025) Vol. 18, Iss. 5, pp. 1069-1069
Open Access
Stable energy management for highway electric vehicle charging based on reinforcement learning
Hongbin Xie, Song Ge, Zhuoran Shi, et al.
Applied Energy (2025) Vol. 389, pp. 125541-125541
Closed Access
A Data-Driven Decision Support System for Wave Power Plant Location Selection
Gunganist Kongklad, Nguyễn Văn Thành, Apichart Pattanaporkratana, et al.
Water (2025) Vol. 17, Iss. 7, pp. 948-948
Open Access
An overview of Artificial Intelligence applications to electrical power systems and DC microgrids
M. Rajitha, A. Raghu Ram
E3S Web of Conferences (2024) Vol. 547, pp. 01002-01002
Open Access | Times Cited: 3
A Deep Reinforcement Learning Optimization Method Considering Network Node Failures
Xueying Ding, Xiao Liao, Wei Cui, et al.
Energies (2024) Vol. 17, Iss. 17, pp. 4471-4471
Open Access | Times Cited: 2
Dynamic Regimes for Corporate Human Capital Development Used Reinforcement Learning Methods
Е. В. Орлова
Mathematics (2023) Vol. 11, Iss. 18, pp. 3916-3916
Open Access | Times Cited: 4
Application of machine learning and artificial intelligence in macroeconomic forecasting and financial planning
Andrew Evdokimov
Modern Economy Success (2024), Iss. 3, pp. 324-330
Closed Access | Times Cited: 1
The Method of Intelligent Railway Alignment Path Generation Based on Deep Q Network
Tianxi Wang, Baocheng Wang
Atlantis highlights in engineering/Atlantis Highlights in Engineering (2024), pp. 142-151
Open Access
Reinforcement Learning for Control System Optimization in Electrical Engineering
Shuchi Bhadula, Haider Alabdeli, Arti Badhoutiya, et al.
(2024), pp. 1364-1369
Closed Access
Short-term forecasting of consumption of the oil and gas enterprises using technological factors and Shapley additive explanations
Alina I. Stepanova, Alexandra I. Khalyasmaa, Павел Матренин
Power engineering research equipment technology (2024) Vol. 26, Iss. 4, pp. 75-88
Open Access
Application of SHAP and Multi-Agent Approach for Short-Term Forecast of Power Consumption of Gas Industry Enterprises
Alina I. Stepanova, Alexandra I. Khalyasmaa, Павел Матренин, et al.
Algorithms (2024) Vol. 17, Iss. 10, pp. 447-447
Open Access
A Cooperative Multi-Agent Q-Learning Control Framework for Real-Time Energy Management in Energy Communities
Andrea Tortorelli, Giulia Sabina, Barbara Marchetti
Energies (2024) Vol. 17, Iss. 20, pp. 5199-5199
Open Access
An Algorithm that Excavates Suboptimal States and Improves Q-learning
Canxin Zhu, Jingmin Yang, Wenjie Zhang, et al.
Engineering Research Express (2024) Vol. 6, Iss. 4, pp. 045226-045226
Closed Access
Energy Storage Assisted Conventional Unit Load Frequency Control Strategy Using Deep Reinforcement Learning
Liying Yang, Rong Fu, Jinxing Lin, et al.
Journal of Electrical Engineering and Technology (2024)
Closed Access
Integrating Deep Learning and Energy Management Standards for Enhanced Solar–Hydrogen Systems: A Study Using MobileNetV2, InceptionV3, and ISO 50001:2018
Salaki Reynaldo Joshua, Yang Junghyun, Sanguk Park, et al.
Hydrogen (2024) Vol. 5, Iss. 4, pp. 819-850
Open Access
Renewable Energy Integration in Modern Power Systems: Challenges and Opportunities
M. Prasad, P. Ganesh, K. Vinay Kumar, et al.
E3S Web of Conferences (2024) Vol. 591, pp. 03002-03002
Open Access
Reinforcement Learning Algorithms Performance Evaluation for Management Problems Decision in Socio-Economic Systems
Е. В. Орлова
2022 4th International Conference on Control Systems, Mathematical Modeling, Automation and Energy Efficiency (SUMMA) (2023), pp. 387-392
Closed Access
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